Table REF  displays the results obtained during this study.
The maps generated from the scanpath (S) show poor performance for metrics comparing the distributions (i.e. KLD, SIM, CC) while the results for the location-based metrics [1]} (i.e. NSS, Auc_Judd, Auc_Borji) show results closer to the comparing models. It is worth noting that the map (S) represents the saliency of a single scanpath. Therefore, the results obtained are satisfactory compared to the ground truth maps aggregating 32 scanpaths. After the merging process (i.e. predicted scanpath generated saliency map and the predicted saliency map), we evaluated the results obtained for J(T,S) in Eq.REF . The results on all the metrics showed a slight improvement compared to ATSal and Two-Stream models. While the results after using the Equator Bias show a significant improvement to those after the merging, indicating the beneficial effects of the using scanpath prediction and the merging module.
